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Dual Regularized KISS Metric Learning for Person Reidentification

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Dual Regularized KISS Metric Learning for Person Reidentification


R. Muthumari | S. Manjula

https://doi.org/10.31142/ijtsrd13015



R. Muthumari | S. Manjula "Dual Regularized KISS Metric Learning for Person Reidentification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.255-257, URL: https://www.ijtsrd.com/papers/ijtsrd13015.pdf

Person re-identi?cation denotes to the task of matching images of walkers across different camera views at different locations, and the system is particularly popular for video investigation. But, person re-identi?cation remains a challenging problem due to the real-world problems of background confusion, constrictions, small target size, and large intra-class variability in clarification, viewpoint, and position. To overcome this problem, it introduces regularization techniques to improve the keep it simple and straightforward (KISS) metric learning for person re-identi?cation. It proposes dual-regularized KISS (DR-KISS) metric learning. The DR-KISS metric learning is the two covariance matrices to reduce the issue that large Eigen values in the true covariance matrix are highly biased. This regularization is necessary and the proposed method is robust for generalization. The DR-KISS, firstly the local maximal occurrence (LOMO) are extracted from each sample and then principal component analysis (PCA) is conducted to obtain a low-dimensional feature representation for each sample. Finally the DR-KISS is accomplished and the matching rank is creating according to the query target. The DR-KISS approach to achieve performance accuracy.

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IJTSRD13015
Volume-2 | Issue-4, June 2018
255-257
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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